需求不確定條件下低碳供應(yīng)鏈網(wǎng)絡(luò)設(shè)計(jì)研究
發(fā)布時(shí)間:2019-03-21 13:36
【摘要】:本文研究的主要目的是設(shè)計(jì)與優(yōu)化需求不確定條件下分別考慮碳限額約束、碳稅以及碳交易權(quán)的低碳供應(yīng)鏈網(wǎng)絡(luò)。這里的需求不確定是指以“常態(tài)需求”為基準(zhǔn)而發(fā)生的需求情景變動(dòng)。本文針對(duì)需求不確定及考慮碳排放因素這兩個(gè)關(guān)鍵點(diǎn)運(yùn)用運(yùn)籌學(xué)、計(jì)算機(jī)編程的相關(guān)理論,采用情景分析、ε約束法、文獻(xiàn)分析、圖表分析以及定性與定量分析相結(jié)合等方法對(duì)供應(yīng)鏈的網(wǎng)絡(luò)設(shè)計(jì)與優(yōu)化問(wèn)題進(jìn)行研究。 首先介紹了研究背景和意義,分析了國(guó)內(nèi)外的研究現(xiàn)狀,給出了論文的研究框架及研究方法,對(duì)低碳供應(yīng)鏈理論、供應(yīng)鏈網(wǎng)絡(luò)設(shè)計(jì)理論、需求不確定性及其描述和碳減排監(jiān)管機(jī)制進(jìn)行了闡述。 其次,論文結(jié)合相關(guān)理論,分別考慮碳排放限額、碳稅及碳交易權(quán),構(gòu)建了需求不確定條件下考慮碳排放限額的低碳供應(yīng)鏈網(wǎng)絡(luò)模型,需求不確定條件下考慮碳稅的低碳供應(yīng)鏈網(wǎng)絡(luò)模型和需求不確定條件下考慮碳交易權(quán)的低碳供應(yīng)鏈網(wǎng)絡(luò)模型。模型綜合考慮環(huán)境投資決策、網(wǎng)點(diǎn)選擇以及路徑的選擇等問(wèn)題,以總運(yùn)作成本、生產(chǎn)和運(yùn)輸途中碳排放量最小為目標(biāo),建立不同需求情景下、需求不確定的多產(chǎn)品雙目標(biāo)混合整數(shù)規(guī)劃模型,結(jié)合ε約束法設(shè)計(jì)了基于情景的求解算法。 再次,應(yīng)用算例分別驗(yàn)證了碳排放限額模型、碳稅約束模型和碳交易權(quán)模型,對(duì)數(shù)值結(jié)果進(jìn)行分析比較并得出相關(guān)結(jié)論。驗(yàn)證了模型和算法的有效性及科學(xué)性。 最后,實(shí)證研究。首先給出能源消耗及環(huán)境污染大戶(hù)賓州水泥有限公司的供應(yīng)鏈網(wǎng)絡(luò)現(xiàn)狀分析,然后在前面理論研究的基礎(chǔ)上應(yīng)用三個(gè)模型對(duì)企業(yè)供應(yīng)鏈網(wǎng)絡(luò)進(jìn)行搭建,得出相應(yīng)結(jié)論,最后提出了針對(duì)需求不確定條件下的低碳網(wǎng)絡(luò)設(shè)計(jì)與優(yōu)化的建議及建議。
[Abstract]:The main purpose of this paper is to design and optimize low-carbon supply chain networks with carbon quota constraints, carbon taxes and carbon trading rights under uncertain demand conditions. Demand uncertainty here refers to changes in demand scenarios based on "normal demand". In view of the uncertainty of demand and the consideration of carbon emission factors, this paper uses operational research, computer programming theory, scenario analysis, 蔚-constraint method, literature analysis, The network design and optimization of supply chain are studied by graph analysis and qualitative and quantitative analysis. First of all, this paper introduces the research background and significance, analyzes the current research situation at home and abroad, and gives the research framework and research methods of the thesis, as well as the low carbon supply chain theory, supply chain network design theory, and so on. Demand uncertainty and its description and carbon emission reduction regulatory mechanism are described. Secondly, based on the relevant theories, the paper constructs a low-carbon supply chain network model considering carbon emission limits, carbon taxes and carbon trading rights under uncertain demand conditions. A low-carbon supply chain network model considering carbon tax under uncertain demand conditions and a low-carbon supply chain network model considering carbon trading rights under uncertain demand conditions are proposed. Considering the environmental investment decision-making, network selection and path selection, the model aims at the total operating cost and the minimum carbon emissions during production and transportation, and sets up different demand scenarios. A multi-product dual-objective mixed integer programming model with uncertain requirements is presented. A scenario-based algorithm is designed based on 蔚-constraint method. Thirdly, the carbon emission limit model, the carbon tax constraint model and the carbon trading right model are verified by numerical examples, and the numerical results are analyzed and compared and the relevant conclusions are drawn. The validity and scientificity of the model and algorithm are verified. Finally, empirical research. Firstly, the supply chain network of Binzhou cement Co., Ltd., which is a big consumer of energy consumption and environmental pollution, is analyzed. Then, based on the previous theoretical research, three models are applied to build the enterprise supply chain network, and the corresponding conclusions are drawn. Finally, some suggestions and suggestions for the design and optimization of low-carbon network under uncertain demand are put forward.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:F274;F832.39;F426.721;F224
[Abstract]:The main purpose of this paper is to design and optimize low-carbon supply chain networks with carbon quota constraints, carbon taxes and carbon trading rights under uncertain demand conditions. Demand uncertainty here refers to changes in demand scenarios based on "normal demand". In view of the uncertainty of demand and the consideration of carbon emission factors, this paper uses operational research, computer programming theory, scenario analysis, 蔚-constraint method, literature analysis, The network design and optimization of supply chain are studied by graph analysis and qualitative and quantitative analysis. First of all, this paper introduces the research background and significance, analyzes the current research situation at home and abroad, and gives the research framework and research methods of the thesis, as well as the low carbon supply chain theory, supply chain network design theory, and so on. Demand uncertainty and its description and carbon emission reduction regulatory mechanism are described. Secondly, based on the relevant theories, the paper constructs a low-carbon supply chain network model considering carbon emission limits, carbon taxes and carbon trading rights under uncertain demand conditions. A low-carbon supply chain network model considering carbon tax under uncertain demand conditions and a low-carbon supply chain network model considering carbon trading rights under uncertain demand conditions are proposed. Considering the environmental investment decision-making, network selection and path selection, the model aims at the total operating cost and the minimum carbon emissions during production and transportation, and sets up different demand scenarios. A multi-product dual-objective mixed integer programming model with uncertain requirements is presented. A scenario-based algorithm is designed based on 蔚-constraint method. Thirdly, the carbon emission limit model, the carbon tax constraint model and the carbon trading right model are verified by numerical examples, and the numerical results are analyzed and compared and the relevant conclusions are drawn. The validity and scientificity of the model and algorithm are verified. Finally, empirical research. Firstly, the supply chain network of Binzhou cement Co., Ltd., which is a big consumer of energy consumption and environmental pollution, is analyzed. Then, based on the previous theoretical research, three models are applied to build the enterprise supply chain network, and the corresponding conclusions are drawn. Finally, some suggestions and suggestions for the design and optimization of low-carbon network under uncertain demand are put forward.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:F274;F832.39;F426.721;F224
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